Senior Data Engineer

Senior Data Engineer

Nottingham Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Build and maintain scalable data pipelines and models using Databricks.
  • Company: Join E.ON Next, a fresh face in sustainable energy, dedicated to making energy easier for customers.
  • Benefits: Enjoy flexible hybrid working, 26 days holiday, competitive salary, and an award-winning benefits package.
  • Why this job: Be part of a mission-driven team focused on innovation and exceptional customer service in energy.
  • Qualifications: Strong Python, SQL, and Databricks experience required; familiarity with Big Data tools is a plus.
  • Other info: Role may close early due to high applications; regular team socials and a supportive work culture.

The predicted salary is between 48000 - 72000 £ per year.

Bringing that feel-good energy.

We''re the newest face amongst the E.ON group of companies. E.ON Next is all about creating a sustainable future, now. We''re moving our energy in the right direction, one little big step at a time. Join us in our mission to bring feel-good energy.

We’re also here to make this whole energy thing way easier for our customers. Like, really easy. That means providing exceptional service and using state-of-the-art tech to do it.

You will primarily be building a customer lifetime view model and the associated data engineering pipelines and infrastructure. You may also work on other data engineering tasks as required. You will engage with stakeholders to understand the requirements of the model and iterating on the design as required.

Here’s a taste of what you’ll be doing:

  • You will build and maintain scalable and efficient data pipelines within Databricks in accordance with best practice. You will evolve and improve these pipelines as requirements change and as new technologies become available.

  • You will build towards and maintain an enterprise data model within Databricks.

  • You will integrate new sources into the data platform through the use of batch and streaming processes, all the while adhering to committed SLAs.

  • You will create and maintain documentation of data pipelines and associated systems and adhere to the security and monitoring processes around data.

  • You will ensure data quality and reliability processes are effective and adhered to, ensuring trust in the data.

Are we the perfect match?

  • Strong Python experience and background.

  • Experience with Big Data and clustered compute e.g. Spark, Dask, Polars.

  • Strong Databricks experience.

  • Strong understanding of SQL, database design, and data architecting.

  • Be comfortable with taking ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements, with hands on experience of managing stakeholders and their expectations.

It would be great if you had:

  • Understanding of data and code testing concepts and principles e.g. unit testing, regression testing, integration testing.

  • Experience with data migration and transformation projects, and optimisation of existing code.

  • Strong attention to detail and curiosity about the data you''ll be working with.

  • Strong understanding of Linux based tooling and associated concepts.

  • Experienced with data governance, data cataloguing, data quality principles, and associated tools.

Here’s what else you need to know:

  • Role may close earlier due to high applications

  • We’ll have regular team socials and lively team chats

  • Competitive salary

  • Location – Nottingham – E.ON Next office, Trinity House, 2 Burton St, Nottingham NG1 4BX/Leicester – Granite House, Watermead Business Park, Syston, LE7 1PF/London – E.ON Next, 47-53 Charterhouse Street, Farringdon, London, EC1M 6PB – with travel to our other sites when required.

  • Working environment: Flexible hybrid working – a blend of in the office and home working.

  • Work life balance – we work Monday-Friday 9AM-5PM to service our customers and make sure they have an unforgettable experience.

  • 26 days holiday plus bank holidays each year – this includes a guaranteed day off for your birthday if you want it.

  • Generous pension scheme (you contribute 5%, we contribute 6%, increasing to 10% after 2 years)

  • Excellent parental leave allowance.

  • The chance to choose from our award-winning Flexible Benefits package which includes the option to buy up to 10 days holiday a year.

  • We’ve exciting opportunities for everyone to develop their talent at E.ON. Our open access, inclusive talent networks provide networking, learning and development for all, building your skills, qualifications, and capabilities throughout your career.

  • For all successful candidates. Due to the nature of this role your employment will be subject to a basic DBS (Disclosure Barring Service) check being carried out by ourselves via a 3rd party service provider.

    We’re committed to equal opportunities and actively promote a diverse and inclusive working environment, and fairness for everyone.

    We realise the best people bring their energy at different times, so we’re happy to talk flexible working. We offer a range of flexible working options, including full time, part time, job share, remote working and variable start and finishing times.

Senior Data Engineer employer: E.ON Next

At E.ON Next, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Located in Nottingham, our flexible hybrid working model allows you to balance your professional and personal life while enjoying competitive benefits such as 26 days of holiday, a generous pension scheme, and opportunities for continuous development. Join us in our mission to create a sustainable future and experience the feel-good energy that comes from being part of a team dedicated to making a positive impact.
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Contact Detail:

E.ON Next Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarize yourself with Databricks and its best practices. Since you'll be building and maintaining data pipelines within this platform, having hands-on experience or relevant projects to showcase can set you apart from other candidates.

✨Tip Number 2

Engage with the data engineering community online. Participate in forums or groups focused on Python, Spark, and data governance. This not only helps you stay updated on industry trends but also allows you to network with professionals who might provide insights or referrals.

✨Tip Number 3

Prepare to discuss your experience with stakeholder management. Since the role involves understanding business requirements and managing expectations, being able to share specific examples of how you've successfully navigated these situations will demonstrate your fit for the position.

✨Tip Number 4

Showcase your curiosity about data quality and reliability. Be ready to discuss any past experiences where you ensured data integrity or improved data processes. This aligns well with the company's focus on trust in data and will highlight your attention to detail.

We think you need these skills to ace Senior Data Engineer

Strong Python experience
Experience with Big Data technologies (e.g., Spark, Dask, Polars)
Strong Databricks experience
Proficient in SQL and database design
Data architecting skills
Stakeholder management
Understanding of data and code testing concepts (unit testing, regression testing, integration testing)
Experience with data migration and transformation projects
Optimization of existing code
Attention to detail
Curiosity about data
Strong understanding of Linux-based tooling
Experience with data governance and data quality principles
Documentation skills for data pipelines and systems
Ability to build and maintain scalable data pipelines

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Senior Data Engineer position. Highlight the key responsibilities and required skills, such as Python experience, Databricks proficiency, and understanding of SQL.

Tailor Your CV: Customize your CV to reflect your relevant experience in data engineering, particularly focusing on projects involving data pipelines, big data technologies, and stakeholder management. Use specific examples that demonstrate your expertise.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for creating sustainable energy solutions. Mention how your skills align with E.ON Next's mission and how you can contribute to building customer lifetime view models and data infrastructure.

Highlight Relevant Projects: In your application, include details about any relevant projects you've worked on, especially those involving data migration, transformation, or governance. This will help demonstrate your hands-on experience and problem-solving abilities.

How to prepare for a job interview at E.ON Next

✨Showcase Your Technical Skills

Be prepared to discuss your strong Python experience and familiarity with Big Data technologies like Spark and Databricks. Bring examples of past projects where you built data pipelines or worked on data engineering tasks.

✨Understand the Business Requirements

Demonstrate your ability to engage with stakeholders by discussing how you've previously gathered requirements for data models. Highlight your experience in iterating on designs based on feedback.

✨Emphasize Data Quality and Governance

Talk about your understanding of data quality principles and governance. Be ready to explain how you've ensured data reliability and trustworthiness in your previous roles.

✨Prepare for Behavioral Questions

Expect questions about your attention to detail and curiosity regarding data. Prepare examples that showcase your problem-solving skills and how you've taken ownership of complex projects.

Senior Data Engineer
E.ON Next
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  • Senior Data Engineer

    Nottingham
    Full-Time
    48000 - 72000 £ / year (est.)

    Application deadline: 2027-01-11

  • E

    E.ON Next

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